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Scaling Liquid Cooling in Line with the AI Development Roadmap
SessionData Analytics Part 3
DescriptionAs AI adoption accelerates, data centers face unprecedented power and thermal challenges, with AI-driven workloads often consuming 10x the power of traditional IT. Meeting these demands requires a complete rethinking of infrastructure, where liquid cooling emerges as a critical enabler on the AI development roadmap. This session will examine the AI Heat Density Roadmap to 2030 and the products and architectures required for heat dissipation, focusing on direct liquid cooling, responsiveness across the entire thermal chain, and the connectivity and telemetry needed to protect this powerful but sensitive IT.
We will explore practical, modular approaches for both retrofits and greenfield builds, including liquid-to-refrigerant coolant distribution units (L2R CDUs) that enable phased deployment and hybrid integration with air-cooling systems. Attendees will gain actionable insights into supporting high-density racks, managing escalating heat loads, and implementing real-time management platforms to create resilient, efficient AI factories that can scale alongside rapidly evolving compute demands.
We will explore practical, modular approaches for both retrofits and greenfield builds, including liquid-to-refrigerant coolant distribution units (L2R CDUs) that enable phased deployment and hybrid integration with air-cooling systems. Attendees will gain actionable insights into supporting high-density racks, managing escalating heat loads, and implementing real-time management platforms to create resilient, efficient AI factories that can scale alongside rapidly evolving compute demands.
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